most citedSolving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2021★ 2 cited

Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

Gaetan Rensonnet, Louise Adam, Benoit Macq

Deep neural networks (DNN) have an impressive ability to invert very complex models, i.e. to learn the generative parameters from a model's output. Once trained, the forward pass o…